---
title: "How to count and measure logs on trucks with computer vision"
description: "Photograph the end of each loaded truck at a fixed spot as it arrives, then use a model trained on the yard own photos to outline each visible log end, count them and estimate end diameters against a known reference in the frame. The tool flags logs it cannot see clearly and loads that look different from the paperwork, so the scaler can check those first. These are estimates from what the camera can see, so a qualified scaler checks the setup and spot checks loads, and official scaling, payment and contract rules stay with people."
url: https://lidvizion.ai/answers/how-to-count-and-measure-logs-on-trucks-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can a sawmill or log yard use computer vision to count logs and estimate end sizes as trucks arrive?

Photograph the end of each loaded truck at a fixed spot as it arrives, then use a model trained on the yard own photos to outline each visible log end, count them and estimate end diameters against a known reference in the frame. The tool flags logs it cannot see clearly and loads that look different from the paperwork, so the scaler can check those first. These are estimates from what the camera can see, so a qualified scaler checks the setup and spot checks loads, and official scaling, payment and contract rules stay with people.

## What this means in practice

- Pick a fixed photo spot and add a clear reference of known size so end sizes can be estimated
- Collect photos of loads that qualified scalers have already counted and measured
- Train the model on the yard own photos for each species and log length the yard takes in
- Flag unclear logs and loads that differ from the paperwork for the scaler to check first
- Have a qualified scaler spot check results on a schedule and add reviewed photos back into training

## How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

## More on Automation & custom AI

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